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The Aegis Combat System learns from every mission.

It continuously adapts and improves through real-world experience, refining its performance with each operation. It detects and tracks emerging threats with more precision, accounts for environmental factors affecting radar, and distinguishes between genuine threats and false alarms.

Ultimately, the goal is to provide Navy operators with a more accurate and streamlined representation of the battlespace, allowing them to react swiftly and with greater confidence to protect lives and accomplish their missions.

Previously, that kind of learning would take weeks or even months to process, as it required an update to the Aegis Combat System software. Updating combat-ready software is no small feat – it requires extensive certification and testing. Operators in the fight can’t afford a software glitch or a cyber vulnerability that might put the mission at risk.

The U.S. Navy and Lockheed Martin engineers recognized that a months-long software update timeline wasn’t going to meet the needs of today’s Sailors. Plus, with decades of experience on Aegis, they also knew that rushing software updates could jeopardize mission success. The solution? An AI-powered approach that integrates machine learning into each Aegis equipped platform, so the Aegis Combat System can learn and adapt without requiring a lengthy software upgrade. The software continually gets smarter, and because it’s all built on the same certified, combat-ready baseline, comprehensive testing processes are automated leveraging U.S. Navy and LM experience derived from decades of real-world performance data.

What was once a months-long process is now just days or even hours.
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This new suite of AI tools comes at a critical time, as Aegis operators face a wide range of new threats from the likes of drones and advanced cruise missiles. These new emerging threats don’t behave like ballistic missiles, and require a more agile and adaptable combat system to detect, track, and neutralize.

With built-in machine learning algorithms, the Aegis Combat System continually gets better at detecting those threats, tracking their movements, and identifying the optimal defensive weapons to engage.

That learning is accelerated by off-board AI data processing. Mission data is downloaded, sent to Lockheed Martin’s AI Center (LAIC), and analyzed by mission data specialists using powerful algorithms to enhance Aegis Combat System performance and effectiveness.

That processed data is used to update what’s known in the AI industry as the “weights” files, which define the software components the Aegis Combat System uses to refine and improve its operations. For example, the software update helps system’s radar better distinguish between true threats from other tracks. That process, which previously took weeks to complete manually, is done in just hours through the use of AI.

What was a plodding process now moves at lighting speed. But the Navy and Lockheed Martin aren’t satisfied yet, and are pushing to move at even faster speeds.

The Navy and Lockheed Martin are working to move that off-board data processing to on-board the ship itself. Doing so takes significant hardware processing, so Lockheed Martin is working on a rapidly-deployable mission kit that integrates the processors, hardware, and software needed to conduct all of the processing on-board the ship.

With that capability in hand, the Aegis Combat System could accelerate learning to almost realtime, continually updating and refining its operations to stay ahead of the threat.

So the next time a drone lifts off towards a target, Aegis is already watching. And learning.
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